Quantitative Research Analyst
On-site · New York City, New York, United States
Job Summary
Quantitative Research Analyst role focusing on designing, implementing, and deploying high-frequency trading algorithms; exploring trading ideas by analyzing market data and market microstructure for patterns; creating tools to analyze data for patterns; developing, augmenting, and calibrating exchange simulators; requires a PhD and strong math/statistics background with experience in back-testing, simulation, PCA, and data mining; proficient in C++, MATLAB, and R.
Required Qualifications
- A PhD from a top-tier university
- 1-3 years of research experience in high-frequency trading
- A strong background in mathematics and statistics
- Proficiency in back-testing, simulation, and statistical techniques (auto-regression, auto-correlation, and Principal Component Analysis)
- Solid data-mining and analysis skills, including experience dealing with a large amount of data/tick data
- Familiarity with signal generation and statistical models
- Strong programming skills in C++, MATLAB, and R
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